Friday, December 20, 2013

Research in Public Health

Selecting a theory on which to base a research model is often the most challenging task for health researchers. As scientists hypnotize different theories, it seems ever more difficult to carry out research amidst various studies on diverse profiles of subjects. Therefore, an effective theory incorporates assumptions about the behavior, health program, target population and environment based on important characteristics (A Guide for Health Promotion). Primary among these is a belief that theory must be logical thus making it practical to implement the model in context of intended research and it should be consistent with everyday observations. Moreover, the theory must be supported by past research in the area or at least be similar to previously successful programs. Often times it is also necessary to utilize more than one theory to meet the objectives of intervention.

In determining what theories or model will most likely allow researchers to viably predict possible outcomes of intervention, it is feasible to select a theory that answers behavioral causes of illness, required level of interaction, target population as well as provide evidence of likelihood of success based on previous evidence (Hayden, 2008). Of course, one cannot validate assumptions without applying these theoretical measures but selecting a relevant theory increases the probability of a successful intervention.

Generally scientists do not agree on any one definition of good criteria for establishing the effectiveness of intervention. Still there are popular guidelines which dictate evidence based research is likely to produce effective result. Additional factors such as evaluation of target group based on the statistics of prevalent multidimensional attitudes, the available resources and the existence of such a knowledge base are vital ingredients to success (Issel, 2008). Other key factors focus on the completeness and transferability of evidence, the need to reflect contemporary standards and the realization of the needs of those involved (Rychetnick, 2002). Such factors are likely to help scientist evaluate if the intervention was successful or the model was inherently faulty.

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